Title
Black Hole Attack Prevention In Mobile Ad-Hoc Network (Manet) Using Ant Colony Optimization Technique
Abstract
The Mobile ad-hoc networks are auto configured systems where hubs can travel towards any direction. The hubs do not rely on any external entity to build the framework. Because of its versatility, the black hole is a real security issue to be settled. It occurs once a malignant hub referred to as black hole goes into the framework. Black hole center point exhibits its fake lead among the methodology after all disclosure. Currently, varied strategies are made arrangements for Mobile ad-hoc networks. Regardless, at interims seeing Black hole or fake hubs, the entire Mobile ad-hoc frameworks are exposed to various sorts of assaults or network attacks. Among these issues, a black hole center points plugs itself of getting a nearest targeted hub, whose data packet must be constrained to drop. In this flooding procedures, if the communication from the genuine hub accomplishes later than the fake hub replies as requested by the standard hub. A false communication path is framed through a fake center hub. A perfect method is one in which the package reach to target with less delay and lesser overhead.In this paper, this study talks about the implementation of Ant Colony Optimization Technique and Repetitive Route Configuration with Reactive Routing Protocol for obstruction of Black Hole Attack in Mobile ad-hoc networks. This study revealed the results with more valuable throughput and better prevention of Black Hole Attack by using ACO with Reactive Routing Protocol and achieved 10% of higher throughput and 27% of less Packet Loss over Least Cost Path Protocol.
Year
DOI
Venue
2020
10.5755/j01.itc.49.3.25265
INFORMATION TECHNOLOGY AND CONTROL
Keywords
DocType
Volume
Black Hole Attack, Ant Colony Optimization, Reactive Routing Protocol, Secured ad-hoc network
Journal
49
Issue
ISSN
Citations 
3
1392-124X
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Dost Muhammad Khan1114.79
Talal Aslam200.34
Nadeem Akhtar300.34
Salman Qadri422.07
Imran Mujaddid Rabbani500.34
Muhammad Aslam629679.45